feat(campaign): support per-campaign analysis model override

Campaigns can pin an analysis model config instead of following the
global analysis default. Creation validates the referenced config
exists (400 otherwise); the create form offers enabled chat configs
with the global default as the fallback option.

backend/agenteval/models.py

@@ -289,6 +289,7 @@ class Campaign(BaseModel):
     completed_at: Optional[datetime] = None
     created_at: Optional[datetime] = None
     summary: Optional[CampaignSummary] = None
+    analysis_model_config_id: Optional[str] = None
 
 
 class Turn(BaseModel):

backend/agenteval/storage/db.py

@@ -187,6 +187,7 @@ class CampaignDB(SQLModel, table=True):
     completed_at: Optional[datetime] = None
     created_at: Optional[datetime] = Field(default_factory=utc_now)
     summary: Optional[str] = None
+    analysis_model_config_id: Optional[str] = None
 
     def get_plan(self) -> list[dict[str, Any]]:
         return _json_loads(self.plan)

backend/agenteval/storage/repository.py

@@ -350,6 +350,7 @@ class CampaignRepository(BaseRepository[Campaign, CampaignDB]):
             started_at=campaign.started_at,
             completed_at=campaign.completed_at,
             created_at=campaign.created_at,
+            analysis_model_config_id=campaign.analysis_model_config_id,
         )
         db.set_plan([entry.model_dump(mode="json") for entry in campaign.plan])
         if campaign.summary:
@@ -369,6 +370,7 @@ class CampaignRepository(BaseRepository[Campaign, CampaignDB]):
             completed_at=db.completed_at,
             created_at=db.created_at,
             summary=db.get_summary(),
+            analysis_model_config_id=db.analysis_model_config_id,
         )
 
     def update(self, campaign: Campaign) -> Optional[Campaign]:
@@ -383,6 +385,7 @@ class CampaignRepository(BaseRepository[Campaign, CampaignDB]):
         existing.status = campaign.status.value
         existing.started_at = campaign.started_at
         existing.completed_at = campaign.completed_at
+        existing.analysis_model_config_id = campaign.analysis_model_config_id
         if campaign.summary is not None:
             existing.set_summary(campaign.summary.model_dump(mode="json"))
         self.session.add(existing)

backend/agenteval/web/routers/campaigns.py

@@ -20,6 +20,7 @@ from agenteval.evaluation.report import (
 from agenteval.evaluation.report_render import render_campaign_markdown
 from agenteval.models import Campaign, CampaignPlanEntry, CampaignStatus
 from agenteval.storage.db import utc_now
+from agenteval.storage.model_config_repository import ModelConfigRepository
 from agenteval.storage.repository import (
     CampaignRepository,
     RunRepository,
@@ -37,6 +38,7 @@ class CreateCampaignRequest(BaseModel):
     window_seconds: int = Field(gt=0)
     time_scale: float = Field(default=1.0, gt=0)
     plan: list[CampaignPlanEntry] = Field(min_length=1)
+    analysis_model_config_id: str | None = None
 
 
 @router.get("")
@@ -68,12 +70,17 @@ async def create_campaign(
                 detail=f"scenario not found: {entry.scenario_id}",
             )
 
+    if request.analysis_model_config_id is not None:
+        if not ModelConfigRepository(session).get(request.analysis_model_config_id):
+            raise HTTPException(status_code=400, detail="analysis model config not found")
+
     campaign = Campaign(
         name=request.name,
         target_id=request.target_id,
         window_seconds=request.window_seconds,
         time_scale=request.time_scale,
         plan=request.plan,
+        analysis_model_config_id=request.analysis_model_config_id,
     )
     repo = CampaignRepository(session)
     campaign = repo.create(campaign)

frontend/web/src/api.ts

@@ -336,6 +336,7 @@ export interface Campaign {
   started_at: string | null
   completed_at: string | null
   summary: Record<string, unknown> | null
+  analysis_model_config_id: string | null
   progress?: CampaignProgress
 }
 
@@ -399,6 +400,7 @@ export interface CreateCampaignPayload {
   window_seconds: number
   time_scale: number
   plan: CampaignPlanEntry[]
+  analysis_model_config_id?: string | null
 }
 
 export const campaignsApi = {

frontend/web/src/pages/Campaigns.tsx

@@ -13,9 +13,9 @@ import { Line, Bar } from '@ant-design/charts'
 import PageWrapper from '../components/PageWrapper'
 import StatCard from '../components/StatCard'
 import {
-  campaignsApi, targetsApi, scenariosApi, runsApi,
+  campaignsApi, targetsApi, scenariosApi, runsApi, modelConfigsApi,
   type CampaignListItem, type CampaignReport, type Target, type Scenario, type Run,
-  type CampaignTimelineEntry,
+  type CampaignTimelineEntry, type ModelConfig,
 } from '../api'
 import { passRateColor } from '../utils/colors'
 import { shortDateTime, toDate } from '../utils/date'
@@ -94,6 +94,7 @@ interface CampaignsListsData {
   campaigns: CampaignListItem[]
   targets: Target[]
   scenarios: Scenario[]
+  modelConfigs: ModelConfig[]
 }
 
 export default function CampaignsPage() {
@@ -123,14 +124,18 @@ export default function CampaignsPage() {
 
   const { data, loading, reload } = useResource<CampaignsListsData>(
     async () => {
-      const [c, t, s] = await Promise.all([campaignsApi.list(), targetsApi.list(), scenariosApi.list()])
-      return { campaigns: c.data, targets: t.data, scenarios: s.data }
+      const [c, t, s, m] = await Promise.all([
+        campaignsApi.list(), targetsApi.list(), scenariosApi.list(), modelConfigsApi.list(),
+      ])
+      return { campaigns: c.data, targets: t.data, scenarios: s.data, modelConfigs: m.data }
     },
     { tabPath: '/campaigns' },
   )
   const campaigns = data?.campaigns ?? []
   const targets = data?.targets ?? []
   const scenarios = data?.scenarios ?? []
+  const chatConfigs = (data?.modelConfigs ?? []).filter((m) => m.enabled && m.capability === 'chat')
+  const analysisDefault = chatConfigs.find((m) => m.is_analysis_default)
   const scenarioNames = Object.fromEntries(scenarios.map((s) => [s.id, s.name]))
 
   const wPlan = (Form.useWatch('plan', form) as PlanFormEntry[] | undefined) ?? []
@@ -163,6 +168,7 @@ export default function CampaignsPage() {
       name: '', target_id: undefined, window_seconds: 24 * 3600,
       realtime: false, target_value: 60, target_unit: 60,
       plan: [{ scenario_id: undefined, offset_hours: 0, count: 1 }],
+      analysis_model_config_id: null,
     })
     setCreateOpen(true)
   }
@@ -185,6 +191,7 @@ export default function CampaignsPage() {
           offset_seconds: Math.round((e.offset_hours ?? 0) * 3600),
           count: e.count ?? 1,
         })),
+        analysis_model_config_id: (values.analysis_model_config_id as string | null) ?? null,
       })
       message.success('评估活动已创建并开始调度')
       setCreateOpen(false)
@@ -576,6 +583,26 @@ export default function CampaignsPage() {
                     </>
                   )}
               </div>
+              <Form.Item
+                name="analysis_model_config_id"
+                label="分析模型"
+                tooltip="活动完成后生成智能分析报告使用的模型；不选则跟随模型配置中心的「分析默认」"
+                style={{ marginTop: 16, marginBottom: 0 }}
+              >
+                <Select
+                  showSearch
+                  optionFilterProp="label"
+                  options={[
+                    {
+                      label: analysisDefault
+                        ? `全局默认（${analysisDefault.name}）`
+                        : '全局默认（未配置）',
+                      value: null,
+                    },
+                    ...chatConfigs.map((m) => ({ label: m.name, value: m.id as string | null })),
+                  ]}
+                />
+              </Form.Item>
             </Col>
 
             <Col span={15}>

migrations/versions/b7e4d3a92c15_add_campaign_analysis_model.py

@@ -0,0 +1,29 @@
+"""add analysis model override to campaigns
+
+Revision ID: b7e4d3a92c15
+Revises: a3f9c2e71b48
+Create Date: 2026-08-03
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+import sqlmodel  # noqa: F401
+from alembic import op
+
+revision: str = "b7e4d3a92c15"
+down_revision: Union[str, Sequence[str], None] = "a3f9c2e71b48"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    with op.batch_alter_table("campaigns", schema=None) as batch_op:
+        batch_op.add_column(
+            sa.Column("analysis_model_config_id", sqlmodel.sql.sqltypes.AutoString(), nullable=True)
+        )
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("campaigns", schema=None) as batch_op:
+        batch_op.drop_column("analysis_model_config_id")

tests/integration/test_campaigns_api.py

@@ -332,3 +332,43 @@ async def test_campaign_timeline_structure(client, seeded_db):
 async def test_campaign_timeline_missing_404(client, seeded_db):
     resp = await client.get("/api/campaigns/nope/timeline")
     assert resp.status_code == 404
+
+
+# ── analysis model override (v0.7 ticket 02) ─────────────────────────────
+
+def _seed_chat_config(session, config_id: str = "mc-1") -> None:
+    from agenteval.storage.db import ModelConfigDB
+    from agenteval.storage.model_config_repository import ModelConfigRepository
+
+    ModelConfigRepository(session).create(ModelConfigDB(
+        id=config_id, name="chat-cfg", provider="openai_compatible", capability="chat",
+        endpoint_url="https://models.example.com/v1/chat/completions", model_name="chat-model",
+    ))
+
+
+async def test_create_campaign_with_analysis_model_override(client, seeded_db):
+    _seed_chat_config(seeded_db)
+    resp = await client.post("/api/campaigns", json=_valid_payload(analysis_model_config_id="mc-1"))
+    assert resp.status_code == 200
+    assert resp.json()["analysis_model_config_id"] == "mc-1"
+
+    campaign_id = resp.json()["id"]
+    got = (await client.get(f"/api/campaigns/{campaign_id}")).json()
+    assert got["analysis_model_config_id"] == "mc-1"
+    listing = (await client.get("/api/campaigns")).json()
+    assert listing[0]["analysis_model_config_id"] == "mc-1"
+
+
+async def test_create_campaign_without_override_stores_null(client, seeded_db):
+    resp = await client.post("/api/campaigns", json=_valid_payload())
+    assert resp.status_code == 200
+    assert resp.json()["analysis_model_config_id"] is None
+
+    campaign_id = resp.json()["id"]
+    got = (await client.get(f"/api/campaigns/{campaign_id}")).json()
+    assert got["analysis_model_config_id"] is None
+
+
+async def test_create_campaign_invalid_analysis_model_400(client, seeded_db):
+    resp = await client.post("/api/campaigns", json=_valid_payload(analysis_model_config_id="nope"))
+    assert resp.status_code == 400

tests/unit/test_campaign_analysis_model_migration.py

@@ -0,0 +1,38 @@
+"""Verify the campaign analysis-model migration adds a nullable column."""
+
+import importlib
+
+import sqlalchemy as sa
+from alembic.migration import MigrationContext
+from alembic.operations import Operations
+
+
+def test_campaign_analysis_model_migration_adds_nullable_column(tmp_path, monkeypatch):
+    engine = sa.create_engine(f"sqlite:///{tmp_path / 'campaign_analysis.db'}")
+    metadata = sa.MetaData()
+    legacy_table = sa.Table(
+        "campaigns",
+        metadata,
+        sa.Column("id", sa.String(), primary_key=True),
+        sa.Column("name", sa.String(), nullable=False),
+    )
+    metadata.create_all(engine)
+
+    with engine.begin() as connection:
+        connection.execute(legacy_table.insert().values(id="camp-1", name="现有活动"))
+        operations = Operations(MigrationContext.configure(connection))
+        migration = importlib.import_module(
+            "migrations.versions.b7e4d3a92c15_add_campaign_analysis_model"
+        )
+        monkeypatch.setattr(migration, "op", operations)
+        migration.upgrade()
+
+        columns = {c["name"]: c for c in sa.inspect(connection).get_columns("campaigns")}
+        assert "analysis_model_config_id" in columns
+        assert columns["analysis_model_config_id"]["nullable"] is True
+
+        value = connection.execute(
+            sa.text("SELECT analysis_model_config_id FROM campaigns WHERE id = :id"),
+            {"id": "camp-1"},
+        ).scalar_one()
+        assert value is None